https://github.com/pcinereus/SUYR
https://pcinereus.github.io/SUYR/
23 August, 2019
https://github.com/pcinereus/SUYR
https://pcinereus.github.io/SUYR/
| Day | Topic |
|---|---|
| 1 | Intro to Version control (git), reproducible research (rmarkdown) and data wrangling |
| 2 | Data visualization and Frequentist (generalized) linear models (GLM) |
| 3 | GLM continued + dealing with heterogeneity and autocorrelation |
| 4 | Day 3 continued + Frequentist mixed effects models |
| 5 | Frequentist generalized linear mixed effects models (GLMM) |
| 6 | More GLMM + Frequentist generalized additive models (GAM + GAMM) |
| 7 | GAMM + regression trees |
| 8 | Bayesian linear models |
| 9 | Bayesian generalized linear/generalized mixed effects |
| 10 | Multivariate analyses |
https://github.com/rstudio/cheatsheets/raw/master/base-r.pdf
https://github.com/rstudio/cheatsheets/raw/master/rstudio-ide.pdf
knitr and rmarkdown packageshttps://github.com/rstudio/cheatsheets/raw/master/rmarkdown-2.0.pdf